Ken Darzy

3.0k citations
25 papers · 1.4k · h-index 19

Impact in

Papers in

Ken Darzy

24 papers receiving 1.4k citations

Peers

Ken Darzy
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 733
  • Behavioral Neuroscience 68
  • Genetics 136
  • Pediatrics, Perinatology and Child Health 223
  • Endocrine and Autonomic Systems 80
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Charlotte Höybye Sweden
Marta Bondanelli Italy
Eva Marie Erfurth Sweden
Whitney W. Woodmansee United States
Bernardo Liberman Brazil
Johan Verhelst Belgium
Helen Spoudeas United Kingdom
G. Corneli Italy
Kunihiko Hanew Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ken Darzy

Since Specialization
Citations

This map shows the geographic impact of Ken Darzy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ken Darzy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Darzy more than expected).

Fields of papers citing papers by Ken Darzy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Darzy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken Darzy. The network helps show where Ken Darzy may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken Darzy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Darzy Line = papers co-authored together Ken Darzy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009248
2 2008158
3 2003123
4 2008106
5 200987
6 200987
7 200572
8 200771
9 200263
10 200360
11 200244
12 201343
13 200536
14
Hypopituitarism after cranial irradiation.
200536
15 200734
16 200533
17 200632
18 200530
19 200218
20 200816

About Ken Darzy

Ken Darzy is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pediatrics, Perinatology and Child Health, Neurology and Genetics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Pituitary Gland Disorders and Treatments (12 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Thyroid Disorders and Treatments (4 papers), Neuroblastoma Research and Treatments (3 papers), Diabetes Treatment and Management (2 papers), Glioma Diagnosis and Treatment (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (733 citations), Behavioral Neuroscience (68 citations), Genetics (136 citations), Pediatrics, Perinatology and Child Health (223 citations) and Endocrine and Autonomic Systems (80 citations). Ken Darzy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stephen M. Shalet, Richard Ross, John Newell‐Price, Amin Rostami‐Hodjegan, Stephen Shalet, G Wieringa, Deborah P. Merke, Wiebke Arlt, Miguel Debono and Hiep Huatan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Pituitary, Growth Hormone & IGF Research and Current Opinion in Endocrinology Diabetes and Obesity.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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